TY - GEN
T1 - The impact of channel variations on wireless distributed computing networks
AU - Chen, Xuetao
AU - Newman, Timothy R.
AU - Datla, Dinesh
AU - Bose, Tamal
AU - Reed, Jeffrey H.
PY - 2009
Y1 - 2009
N2 - Wireless distributed computing has several unique problems compared with currently well investigated wireless sensor networks. These problems include the impact of channel variation on power allocation, different traffic pattern with higher utilization, and more restricted delay constraints. This paper investigates the impact of communication channel condition on the average execution time of the computing task within wireless distributed computing networks (WDCN). It has been found that the delay performance of wireless distributed computing is influenced by both the average channel condition and the variation of channels. In addition, the impact of channel heterogeneity is also investigated to show the possibility of the optimal workload distribution for energy saving and robustness. Finally, a workload distribution approach combined with a power allocation scheme exploiting the spatial heterogeneity of the channel condition is proposed to balance energy efficiency and robustness.
AB - Wireless distributed computing has several unique problems compared with currently well investigated wireless sensor networks. These problems include the impact of channel variation on power allocation, different traffic pattern with higher utilization, and more restricted delay constraints. This paper investigates the impact of communication channel condition on the average execution time of the computing task within wireless distributed computing networks (WDCN). It has been found that the delay performance of wireless distributed computing is influenced by both the average channel condition and the variation of channels. In addition, the impact of channel heterogeneity is also investigated to show the possibility of the optimal workload distribution for energy saving and robustness. Finally, a workload distribution approach combined with a power allocation scheme exploiting the spatial heterogeneity of the channel condition is proposed to balance energy efficiency and robustness.
KW - Distributed computing
KW - Spatial heterogeneity
KW - Wireless communications
KW - Workload balance
UR - http://www.scopus.com/inward/record.url?scp=77951570240&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77951570240&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2009.5425441
DO - 10.1109/GLOCOM.2009.5425441
M3 - Conference contribution
AN - SCOPUS:77951570240
SN - 9781424441488
T3 - GLOBECOM - IEEE Global Telecommunications Conference
BT - GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference
T2 - 2009 IEEE Global Telecommunications Conference, GLOBECOM 2009
Y2 - 30 November 2009 through 4 December 2009
ER -